mirror of https://github.com/catlog22/Claude-Code-Workflow.git synced 2026-03-01 15:03:57 +08:00

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catlog22 4a89f626fc Refactor documentation for code commands and workflows

- Updated command syntax formatting to use code blocks for clarity in `prep.md`, `review.md`, and `spec.md`.
- Enhanced architectural diagrams in `ch01-what-is-claude-dms3.md` and core concepts in `ch03-core-concepts.md` using mermaid syntax for better visualization.
- Improved workflow diagrams in `ch04-workflow-basics.md` and `4-level.md` to provide clearer representations of processes.
- Added troubleshooting section in `installation.md` to address common installation issues and provide quick start examples.
- Revised skill documentation in `claude-meta.md` and `claude-workflow.md` to standardize command triggers and output structures.
- Updated best practices and workflow index documentation to enhance readability and understanding of workflow levels and practices.

2026-02-28 19:53:24 +08:00

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What is Claude_dms3

One-Line Positioning

Claude_dms3 is an AI-powered development workbench for VS Code — Through semantic code indexing, multi-model CLI invocation, and team collaboration systems, it enables AI to deeply understand your project and generate high-quality code according to specifications.

AI capabilities bloom like vines — Claude_dms3 is the trellis that guides AI along your project's architecture, coding standards, and team workflows.

1.1 Pain Points Solved

Pain Point	Current State	Claude_dms3 Solution
AI doesn't understand the project	Every new session requires re-explaining project background, tech stack, and coding standards	Memory system persists project context, AI remembers project knowledge across sessions
Difficult code search	Keyword search can't find semantically related code, don't know where functions are called	CodexLens semantic indexing, supports natural language search and call chain tracing
Single model limitation	Can only call one AI model, different models excel in different scenarios	CCW unified invocation framework, supports multi-model collaboration (Gemini, Qwen, Codex, Claude)
Chaotic collaboration process	Team members work independently, inconsistent code styles, standards hard to implement	Team workflow system (PlanEx, IterDev, Lifecycle) ensures standard execution
Standards hard to implement	CLAUDE.md written but AI doesn't follow, project constraints ignored	Spec + Hook auto-injection, AI forced to follow project standards

1.2 vs Traditional Methods

Dimension	Traditional AI Assistant	Claude_dms3
Code Search	Text keyword search	Semantic vector search + LSP call chain
AI Invocation	Single model fixed call	Multi-model collaboration, optimal model per task
Project Memory	Re-explain each session	Cross-session persistent Memory
Standard Execution	Relies on Prompt reminders	Spec + Hook auto-injection
Team Collaboration	Each person for themselves	Structured workflow system
Code Quality	Depends on AI capability	Multi-dimensional review + auto-fix cycle

1.3 Core Concepts Overview

Concept	Description	Location/Command
CodexLens	Semantic code indexing and search engine	`ccw search`
CCW	Unified CLI tool invocation framework	`ccw cli`
Memory	Cross-session knowledge persistence	`ccw memory`
Spec	Project specification and constraint system	`.workflow/specs/`
Hook	Auto-triggered context injection scripts	`.claude/hooks/`
Agent	Specialized AI subprocess for specific roles	`.claude/agents/`
Skill	Reusable AI capability modules	`.claude/skills/`
Workflow	Multi-phase development orchestration	`/workflow:*`

1.4 Architecture Overview

graph TB
    subgraph Claude_dms3_Architecture[Claude_dms3 Architecture]
        A[CodexLens<br/>Semantic Index]
        B[CCW<br/>CLI Call Framework]
        C[Memory<br/>Persistent Context]
        D[Spec System]
        E[Hooks<br/>Inject]
        F[Skills<br/>Reusable]
        G[Agents<br/>Roles]

        A --> D
        B --> D
        C --> D
        D --> E
        D --> F
        D --> G
    end

Next Steps

Getting Started - Install and configure
Core Concepts - Understand the fundamentals
Workflow Basics - Start your first workflow

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